OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Information Systems is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)

Article	Citations
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks	103
Bias and Debias in Recommender System: A Survey and Future Directions	101
Deep Learning for Sequential Recommendation	93
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research	88
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification	78
FNED	77
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	64
Challenges in Building Intelligent Open-domain Dialog Systems	62
A Survey on the Fairness of Recommender Systems	41
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	40
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation	35
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users	35
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach	33
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis	33
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval	31
Reinforcement Learning–based Collective Entity Alignment with Adaptive Features	30
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	28
Unbiased Learning to Rank	27
Personalized News Recommendation: Methods and Challenges	26
How Am I Doing?: Evaluating Conversational Search Systems Offline	26
Toward Dynamic User Intention	25
Collaborative Graph Learning for Session-based Recommendation	24
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems	23
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation	23
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	23

CRSAL	23
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting	22
Towards Question-based High-recall Information Retrieval	22
Bots in Social and Interaction Networks	21
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation	21
Decentralized Collaborative Learning Framework for Next POI Recommendation	20
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation	20
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	20
Feature-Level Attentive ICF for Recommendation	19
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation	18
When to Stop Reviewing in Technology-Assisted Reviews	18
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations	17
Multi-interest Diversification for End-to-end Sequential Recommendation	17
Personalizing Medication Recommendation with a Graph-Based Approach	17
Combining Graph Convolutional Neural Networks and Label Propagation	17
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	16
From Users’ Intentions to IF-THEN Rules in the Internet of Things	16
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning	16
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation	16
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation	15
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation	15
Interaction-aware Drug Package Recommendation via Policy Gradient	15
Retrieval Evaluation Measures that Agree with Users’ SERP Preferences	15
AutoML for Deep Recommender Systems: A Survey	15
Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval	15
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation	15
Exploiting Positional Information for Session-Based Recommendation	15
Time-aware Path Reasoning on Knowledge Graph for Recommendation	15
A Survey on Heterogeneous One-class Collaborative Filtering	14
Federated User Modeling from Hierarchical Information	14
Assessing Top- Preferences	14
Block-Aware Item Similarity Models for Top- N Recommendation	14
Personalized Prompt Learning for Explainable Recommendation	14
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment	14
Addressing Confounding Feature Issue for Causal Recommendation	13
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion	13
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach	13
Knowledge-Guided Disentangled Representation Learning for Recommender Systems	13
The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems	12
Learning to Learn a Cold-start Sequential Recommender	12
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks	12
Conversations with Search Engines: SERP-based Conversational Response Generation	12
Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants	12
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback	12
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs	11
Sequential Recommendation with Multiple Contrast Signals	11
A Next Basket Recommendation Reality Check	11
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations	11
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review	11
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training	11

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge	11
What and How long: Prediction of Mobile App Engagement	11
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation	11
Topic Difficulty: Collection and Query Formulation Effects	11
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	11
Few-shot Aspect Category Sentiment Analysis via Meta-learning	11
Meaningful Answer Generation of E-Commerce Question-Answering	11
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation	11
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network	11
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	11
Graph-based Regularization on Embedding Layers for Recommendation	10
A Review on Question Generation from Natural Language Text	10
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search	10
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities	10
Pretrained Embeddings for Stance Detection with Hierarchical Capsule Network on Social Media	10
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation	9
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank	9
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering	9
On the User Behavior Leakage from Recommender System Exposure	9
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	9
Meta-evaluation of Conversational Search Evaluation Metrics	9
Keeping the Data Lake in Form	9
On the Study of Transformers for Query Suggestion	9
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	9
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks	9
Contrastive Learning for Legal Judgment Prediction	9
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey	9
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization	9
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation	9